On this episode, we’re joined by Stella Biderman, Executive Director at EleutherAI and Lead Scientist - Mathematician at Booz Allen Hamilton.

EleutherAI is a grassroots collective that enables open-source AI research and focuses on the development and interpretability of large language models (LLMs).

We discuss:

- How EleutherAI got its start and where it's headed.

- The similarities and differences between various LLMs.

- How to decide which model to use for your desired outcome.

- The benefits and challenges of reinforcement learning from human feedback.

- Details around pre-training and fine-tuning LLMs.

- Which types of GPUs are best when training LLMs.

- What separates EleutherAI from other companies training LLMs.

- Details around mechanistic interpretability.

- Why understanding what and how LLMs memorize is important.

- The importance of giving researchers and the public access to LLMs.

Stella Biderman - https://www.linkedin.com/in/stellabiderman/

EleutherAI - https://www.linkedin.com/company/eleutherai/

Resources:

- https://www.eleuther.ai/

Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.

#OCR #DeepLearning #AI #Modeling #ML

How to Defend Against AI Agents Hurting Your Business (474)